Long term operational modal analysis for rotating machines

Nicoletta Gioia, Pieter-Jan Daems, Cédric Peeters, Mahmoud El-kafafy, Patrick Guillaume, Jan Helsen

Research output: Chapter in Book/Report/Conference proceedingConference paper

4 Citations (Scopus)


Wind energy is one of the most promising renewable energy available today. The continuous demand of wind energy production led the interest of the wind industry towards
bigger turbines. This upscaling trend has imposed bigger (not quasi-static) loads that are significantly influencing the fatigue life of the wind turbine components and the tonalities generated by the drive train. To tackle noise and vibration problems and validate complex models it is of high interest to continuously track the modal parameters of the machines under different operating conditions. This allows a better design of the new prototypes and the reduction of the risk of premature component failures, followed by a possible decrease of the cost of the energy. To do so Operational Modal Analysis represents a powerful tool. One limitation affecting this methodology when applied to rotating machines comes from the presence of harmonics. Their predominance in the spectrum masks the modal content in the signal, making the extraction of the modal parameters impossible. The objective of this research is then to achieve a combination of automatic methodologies for dealing with the harmonics and automatic OMA techniques in order to be able to autonomously process a continuous stream of data.
Original languageEnglish
Title of host publicationThe Science of Making Torque from Wind. 3 ed. IOP Publishing
Number of pages10
Publication statusPublished - 2018
EventTORQUE 2018: The Science of Making Torque from Wind - Milan, Italy
Duration: 20 Jun 201822 Jun 2018

Publication series

NameJournal of Physics: Conference Series
PublisherIOP Publishing Ltd.
ISSN (Print)1742-6588


ConferenceTORQUE 2018
Abbreviated titleTORQUE


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